The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at dhivyaravindran@gmail.com.
Numbers as on EOD
## [1] "2020-05-19"
Overall Confirmed Cases Count Worldwide
## [1] "4897492 (up from 4801943 yesterday: 1.99 % increase)"
Overall Deaths Worldwide
Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] "323285 (up from 318481 yesterday: 1.51 % increase)"
Overall Fatality Rate Worldwide in %
Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] 6.6
Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)
| Country_Region | TotalConfirmed | NewConfirmations | CasesPercentIncrease | TotalDeaths | NewDeaths | DeathsPercentIncrease | FatalityRate |
|---|---|---|---|---|---|---|---|
| US | 1528568 | 20260 | 1.34 | 91921 | 1574 | 1.74 | 6.01 |
| Russia | 299941 | 9263 | 3.19 | 2837 | 115 | 4.22 | 0.95 |
| Brazil | 271885 | 16517 | 6.47 | 17983 | 1130 | 6.71 | 6.61 |
| United Kingdom | 250138 | 2429 | 0.98 | 35422 | 546 | 1.57 | 14.16 |
| Spain | 232037 | 431 | 0.19 | 27778 | 69 | 0.25 | 11.97 |
| Italy | 226699 | 813 | 0.36 | 32169 | 162 | 0.51 | 14.19 |
| France | 180933 | 882 | 0.49 | 28025 | -217 | -0.77 | 15.49 |
| Germany | 177778 | 1227 | 0.69 | 8081 | 78 | 0.97 | 4.55 |
| Turkey | 151615 | 1022 | 0.68 | 4199 | 28 | 0.67 | 2.77 |
| Iran | 124603 | 2111 | 1.72 | 7119 | 62 | 0.88 | 5.71 |
| India | 106475 | 6147 | 6.13 | 3302 | 146 | 4.63 | 3.10 |
| Peru | 99483 | 4550 | 4.79 | 2914 | 125 | 4.48 | 2.93 |
| China | 84063 | 0 | 0.00 | 4638 | 0 | 0.00 | 5.52 |
| Canada | 80493 | 1082 | 1.36 | 6028 | 68 | 1.14 | 7.49 |
| Saudi Arabia | 59854 | 2509 | 4.38 | 329 | 9 | 2.81 | 0.55 |
| Belgium | 55791 | 232 | 0.42 | 9108 | 28 | 0.31 | 16.33 |
| Mexico | 54346 | 2713 | 5.25 | 5666 | 334 | 6.26 | 10.43 |
| Chile | 49579 | 3520 | 7.64 | 509 | 31 | 6.49 | 1.03 |
| Netherlands | 44449 | 108 | 0.24 | 5734 | 21 | 0.37 | 12.90 |
| Pakistan | 43966 | 1841 | 4.37 | 939 | 36 | 3.99 | 2.14 |
| Qatar | 35606 | 1637 | 4.82 | 15 | 0 | 0.00 | 0.04 |
| Ecuador | 34151 | 569 | 1.69 | 2839 | 40 | 1.43 | 8.31 |
| Belarus | 31508 | 936 | 3.06 | 175 | 4 | 2.34 | 0.56 |
| Sweden | 30799 | 422 | 1.39 | 3743 | 45 | 1.22 | 12.15 |
| Switzerland | 30618 | 21 | 0.07 | 1891 | 5 | 0.27 | 6.18 |
| Portugal | 29432 | 223 | 0.76 | 1247 | 16 | 1.30 | 4.24 |
| Singapore | 28794 | 451 | 1.59 | 22 | 0 | 0.00 | 0.08 |
| Bangladesh | 25121 | 1251 | 5.24 | 370 | 21 | 6.02 | 1.47 |
| United Arab Emirates | 25063 | 873 | 3.61 | 227 | 3 | 1.34 | 0.91 |
| Ireland | 24251 | 51 | 0.21 | 1561 | 14 | 0.90 | 6.44 |
| Poland | 19268 | 383 | 2.03 | 948 | 12 | 1.28 | 4.92 |
| Ukraine | 18876 | 260 | 1.40 | 548 | 13 | 2.43 | 2.90 |
| Indonesia | 18496 | 486 | 2.70 | 1221 | 30 | 2.52 | 6.60 |
| South Africa | 17200 | 767 | 4.67 | 312 | 26 | 9.09 | 1.81 |
| Romania | 17191 | 155 | 0.91 | 1137 | 17 | 1.52 | 6.61 |
| Colombia | 16935 | 640 | 3.93 | 613 | 21 | 3.55 | 3.62 |
| Kuwait | 16764 | 1073 | 6.84 | 121 | 3 | 2.54 | 0.72 |
| Israel | 16659 | 16 | 0.10 | 278 | 2 | 0.72 | 1.67 |
| Japan | 16367 | 62 | 0.38 | 768 | 19 | 2.54 | 4.69 |
| Austria | 16321 | 52 | 0.32 | 632 | 3 | 0.48 | 3.87 |
| Egypt | 13484 | 720 | 5.64 | 659 | 14 | 2.17 | 4.89 |
| Dominican Republic | 13223 | 498 | 3.91 | 441 | 7 | 1.61 | 3.34 |
| Philippines | 12942 | 224 | 1.76 | 837 | 6 | 0.72 | 6.47 |
| Denmark | 11242 | 76 | 0.68 | 551 | 3 | 0.55 | 4.90 |
| Korea, South | 11110 | 32 | 0.29 | 263 | 0 | 0.00 | 2.37 |
| Serbia | 10733 | 34 | 0.32 | 234 | 3 | 1.30 | 2.18 |
| Panama | 9867 | 141 | 1.45 | 281 | 2 | 0.72 | 2.85 |
| Argentina | 8809 | 438 | 5.23 | 393 | 11 | 2.88 | 4.46 |
| Czechia | 8647 | 61 | 0.71 | 302 | 5 | 1.68 | 3.49 |
| Norway | 8267 | 10 | 0.12 | 233 | 0 | 0.00 | 2.82 |
| Afghanistan | 7653 | 581 | 8.22 | 178 | 5 | 2.89 | 2.33 |
| Bahrain | 7532 | 348 | 4.84 | 12 | 0 | 0.00 | 0.16 |
| Algeria | 7377 | 176 | 2.44 | 561 | 6 | 1.08 | 7.60 |
| Australia | 7072 | 4 | 0.06 | 100 | 1 | 1.01 | 1.41 |
| Morocco | 7023 | 71 | 1.02 | 193 | 1 | 0.52 | 2.75 |
| Malaysia | 6978 | 37 | 0.53 | 114 | 1 | 0.88 | 1.63 |
| Kazakhstan | 6751 | 0 | 0.00 | 35 | 0 | 0.00 | 0.52 |
| Nigeria | 6401 | 226 | 3.66 | 192 | 1 | 0.52 | 3.00 |
| Finland | 6399 | 19 | 0.30 | 301 | 1 | 0.33 | 4.70 |
| Moldova | 6340 | 202 | 3.29 | 221 | 4 | 1.84 | 3.49 |
| Ghana | 6096 | 361 | 6.29 | 31 | 2 | 6.90 | 0.51 |
| Oman | 5671 | 292 | 5.43 | 27 | 2 | 8.00 | 0.48 |
| Armenia | 5041 | 218 | 4.52 | 64 | 3 | 4.92 | 1.27 |
| Bolivia | 4481 | 218 | 5.11 | 189 | 15 | 8.62 | 4.22 |
| Luxembourg | 3958 | 11 | 0.28 | 109 | 2 | 1.87 | 2.75 |
| Iraq | 3611 | 57 | 1.60 | 131 | 4 | 3.15 | 3.63 |
| Hungary | 3556 | 21 | 0.59 | 467 | 5 | 1.08 | 13.13 |
| Cameroon | 3529 | 0 | 0.00 | 140 | 0 | 0.00 | 3.97 |
| Azerbaijan | 3518 | 131 | 3.87 | 41 | 1 | 2.50 | 1.17 |
| Thailand | 3033 | 2 | 0.07 | 56 | 0 | 0.00 | 1.85 |
| Honduras | 2955 | 157 | 5.61 | 147 | 1 | 0.68 | 4.97 |
| Guinea | 2863 | 67 | 2.40 | 18 | 2 | 12.50 | 0.63 |
| Uzbekistan | 2855 | 64 | 2.29 | 13 | 0 | 0.00 | 0.46 |
| Greece | 2840 | 4 | 0.14 | 165 | 0 | 0.00 | 5.81 |
| Sudan | 2728 | 137 | 5.29 | 111 | 6 | 5.71 | 4.07 |
| Senegal | 2617 | 73 | 2.87 | 30 | 4 | 15.38 | 1.15 |
| Bosnia and Herzegovina | 2321 | 17 | 0.74 | 134 | 1 | 0.75 | 5.77 |
| Bulgaria | 2259 | 24 | 1.07 | 112 | 2 | 1.82 | 4.96 |
| Croatia | 2232 | 4 | 0.18 | 96 | 1 | 1.05 | 4.30 |
| Cote d’Ivoire | 2153 | 34 | 1.60 | 28 | 0 | 0.00 | 1.30 |
| Guatemala | 2133 | 221 | 11.56 | 43 | 8 | 22.86 | 2.02 |
| Tajikistan | 1936 | 207 | 11.97 | 41 | 0 | 0.00 | 2.12 |
| Cuba | 1887 | 6 | 0.32 | 79 | 0 | 0.00 | 4.19 |
| North Macedonia | 1839 | 22 | 1.21 | 106 | 2 | 1.92 | 5.76 |
| Iceland | 1802 | 0 | 0.00 | 10 | 0 | 0.00 | 0.55 |
| Estonia | 1791 | 7 | 0.39 | 64 | 0 | 0.00 | 3.57 |
| Congo (Kinshasa) | 1629 | 91 | 5.92 | 61 | 0 | 0.00 | 3.74 |
| Djibouti | 1618 | 100 | 6.59 | 7 | 0 | 0.00 | 0.43 |
| Lithuania | 1562 | 15 | 0.97 | 60 | 1 | 1.69 | 3.84 |
| New Zealand | 1503 | 4 | 0.27 | 21 | 0 | 0.00 | 1.40 |
| Gabon | 1502 | 70 | 4.89 | 12 | 1 | 9.09 | 0.80 |
| Somalia | 1502 | 47 | 3.23 | 59 | 2 | 3.51 | 3.93 |
| El Salvador | 1498 | 85 | 6.02 | 30 | 0 | 0.00 | 2.00 |
| Slovakia | 1495 | 0 | 0.00 | 28 | 0 | 0.00 | 1.87 |
| Slovenia | 1467 | 1 | 0.07 | 104 | 0 | 0.00 | 7.09 |
| Kyrgyzstan | 1243 | 27 | 2.22 | 14 | 0 | 0.00 | 1.13 |
| Maldives | 1143 | 37 | 3.35 | 4 | 0 | 0.00 | 0.35 |
| Tunisia | 1044 | 1 | 0.10 | 47 | 1 | 2.17 | 4.50 |
| Guinea-Bissau | 1038 | 6 | 0.58 | 6 | 2 | 50.00 | 0.58 |
| Sri Lanka | 1027 | 35 | 3.53 | 9 | 0 | 0.00 | 0.88 |
| Latvia | 1012 | 3 | 0.30 | 21 | 2 | 10.53 | 2.08 |
Confirmed Cases and Deaths- States of USA (With Fatality Rates)
| State | Confirmed | NewConfirmations | CasesPercentIncrease | Deaths | NewDeaths | DeathsPercentIncrease | FatalityRate | ConfirmedCasesPerMillPopl | DeathsPerMillPopl | InfectionOdds |
|---|---|---|---|---|---|---|---|---|---|---|
| New York | 352845 | 1474 | 0.42 | 28558 | 219 | 0.77 | 8.09 | 18137.81 | 1468.01 | 1 in 55 |
| New Jersey | 149356 | 1116 | 0.75 | 10587 | 148 | 1.42 | 7.09 | 16815.22 | 1191.94 | 1 in 59 |
| Illinois | 98030 | 1545 | 1.60 | 4379 | 145 | 3.42 | 4.47 | 7736.06 | 345.57 | 1 in 129 |
| Massachusetts | 87925 | 873 | 1.00 | 5938 | 76 | 1.30 | 6.75 | 12651.98 | 854.45 | 1 in 79 |
| California | 83752 | 2295 | 2.82 | 3403 | 124 | 3.78 | 4.06 | 2119.65 | 86.13 | 1 in 472 |
| Pennsylvania | 67311 | 642 | 0.96 | 4628 | 113 | 2.50 | 6.88 | 5257.85 | 361.51 | 1 in 190 |
| Michigan | 52350 | 435 | 0.84 | 5017 | 102 | 2.08 | 9.58 | 5241.89 | 502.36 | 1 in 191 |
| Texas | 50552 | 1375 | 2.80 | 1388 | 38 | 2.81 | 2.75 | 1743.42 | 47.87 | 1 in 574 |
| Florida | 46944 | 502 | 1.08 | 2052 | 55 | 2.75 | 4.37 | 2185.71 | 95.54 | 1 in 458 |
| Maryland | 41546 | 1784 | 4.49 | 2081 | 58 | 2.87 | 5.01 | 6872.01 | 344.21 | 1 in 146 |
| Georgia | 38855 | 572 | 1.49 | 1675 | 26 | 1.58 | 4.31 | 3659.55 | 157.76 | 1 in 273 |
| Connecticut | 38430 | 314 | 0.82 | 3472 | 22 | 0.64 | 9.03 | 10778.94 | 973.83 | 1 in 93 |
| Louisiana | 35038 | 329 | 0.95 | 2581 | 18 | 0.70 | 7.37 | 7537.01 | 555.20 | 1 in 133 |
| Virginia | 32145 | 1005 | 3.23 | 1042 | 27 | 2.66 | 3.24 | 3766.03 | 122.08 | 1 in 266 |
| Ohio | 28952 | 498 | 1.75 | 1720 | 63 | 3.80 | 5.94 | 2476.84 | 147.15 | 1 in 404 |
| Indiana | 28705 | 450 | 1.59 | 1824 | 59 | 3.34 | 6.35 | 4263.82 | 270.94 | 1 in 235 |
| Colorado | 22482 | 280 | 1.26 | 1257 | 33 | 2.70 | 5.59 | 3903.98 | 218.28 | 1 in 256 |
| North Carolina | 19239 | 32 | 0.17 | 693 | 0 | 0.00 | 3.60 | 1834.37 | 66.07 | 1 in 545 |
| Washington | 18811 | 200 | 1.07 | 1031 | 29 | 2.89 | 5.48 | 2470.29 | 135.39 | 1 in 405 |
| Tennessee | 18412 | 401 | 2.23 | 305 | 4 | 1.33 | 1.66 | 2694.50 | 44.64 | 1 in 371 |
| Minnesota | 17029 | 657 | 4.01 | 757 | 17 | 2.30 | 4.45 | 3019.52 | 134.23 | 1 in 331 |
| Iowa | 15296 | 341 | 2.28 | 367 | 12 | 3.38 | 2.40 | 4848.07 | 116.32 | 1 in 206 |
| Arizona | 14576 | 368 | 2.59 | 705 | 18 | 2.62 | 4.84 | 1914.14 | 92.58 | 1 in 522 |
| Rhode Island | 12951 | 156 | 1.22 | 532 | 26 | 5.14 | 4.11 | 12225.29 | 502.19 | 1 in 82 |
| Wisconsin | 12885 | 198 | 1.56 | 467 | 8 | 1.74 | 3.62 | 2212.99 | 80.21 | 1 in 452 |
| Alabama | 12376 | 290 | 2.40 | 504 | 15 | 3.07 | 4.07 | 2524.07 | 102.79 | 1 in 396 |
| Mississippi | 11704 | 272 | 2.38 | 554 | 27 | 5.12 | 4.73 | 3932.60 | 186.15 | 1 in 254 |
| Missouri | 11393 | 151 | 1.34 | 631 | 20 | 3.27 | 5.54 | 1856.32 | 102.81 | 1 in 539 |
| Nebraska | 10854 | 229 | 2.16 | 123 | 0 | 0.00 | 1.13 | 5611.02 | 63.59 | 1 in 178 |
| South Carolina | 9056 | 114 | 1.27 | 399 | 8 | 2.05 | 4.41 | 1758.89 | 77.50 | 1 in 569 |
| Kansas | 8353 | 50 | 0.60 | 199 | 1 | 0.51 | 2.38 | 2867.18 | 68.31 | 1 in 349 |
| Kentucky | 8069 | 134 | 1.69 | 366 | 20 | 5.78 | 4.54 | 1806.09 | 81.92 | 1 in 554 |
| Delaware | 8037 | 168 | 2.13 | 304 | 7 | 2.36 | 3.78 | 8253.54 | 312.19 | 1 in 121 |
| Utah | 7518 | 134 | 1.81 | 88 | 8 | 10.00 | 1.17 | 2345.01 | 27.45 | 1 in 426 |
| District of Columbia | 7434 | 164 | 2.26 | 400 | 8 | 2.04 | 5.38 | 10533.49 | 566.77 | 1 in 95 |
| Nevada | 7096 | 35 | 0.50 | 358 | 0 | 0.00 | 5.05 | 2303.78 | 116.23 | 1 in 434 |
| New Mexico | 6192 | 96 | 1.57 | 276 | 6 | 2.22 | 4.46 | 2953.03 | 131.63 | 1 in 339 |
| Oklahoma | 5489 | 91 | 1.69 | 293 | 5 | 1.74 | 5.34 | 1387.17 | 74.05 | 1 in 721 |
| Arkansas | 4923 | 110 | 2.29 | 102 | 2 | 2.00 | 2.07 | 1631.31 | 33.80 | 1 in 613 |
| South Dakota | 4085 | 58 | 1.44 | 46 | 2 | 4.55 | 1.13 | 4617.60 | 52.00 | 1 in 217 |
| Oregon | 3726 | 39 | 1.06 | 140 | 2 | 1.45 | 3.76 | 883.41 | 33.19 | 1 in 1132 |
| New Hampshire | 3721 | 69 | 1.89 | 172 | 0 | 0.00 | 4.62 | 2736.61 | 126.50 | 1 in 365 |
| Puerto Rico | 2805 | 95 | 3.51 | 124 | 0 | 0.00 | 4.42 | 878.29 | 38.83 | 1 in 1139 |
| Idaho | 2455 | 0 | 0.00 | 74 | 0 | 0.00 | 3.01 | 1369.93 | 41.29 | 1 in 730 |
| North Dakota | 1994 | 63 | 3.26 | 45 | 1 | 2.27 | 2.26 | 2616.59 | 59.05 | 1 in 382 |
| Maine | 1741 | 28 | 1.63 | 73 | 2 | 2.82 | 4.19 | 1295.18 | 54.31 | 1 in 772 |
| West Virginia | 1502 | 0 | 0.00 | 68 | 0 | 0.00 | 4.53 | 840.45 | 38.05 | 1 in 1190 |
| Vermont | 944 | 4 | 0.43 | 54 | 0 | 0.00 | 5.72 | 1512.85 | 86.54 | 1 in 661 |
| Wyoming | 776 | 10 | 1.31 | 10 | 0 | 0.00 | 1.29 | 1340.80 | 17.28 | 1 in 746 |
| Hawaii | 641 | 1 | 0.16 | 17 | 0 | 0.00 | 2.65 | 452.72 | 12.01 | 1 in 2209 |
| Montana | 471 | 1 | 0.21 | 16 | 0 | 0.00 | 3.40 | 440.69 | 14.97 | 1 in 2269 |
| Alaska | 400 | 12 | 3.09 | 10 | 0 | 0.00 | 2.50 | 546.79 | 13.67 | 1 in 1829 |
State Level Figures
| State | Tested | Confirmed | ConfirmationRate | TestsPerMillPopl |
|---|---|---|---|---|
| New York | 1467739 | 352845 | 24.04 | 75448.35 |
| New Jersey | 520182 | 149356 | 28.71 | 58564.61 |
| Illinois | 621684 | 98030 | 15.77 | 49060.35 |
| Massachusetts | 476940 | 87925 | 18.44 | 68629.37 |
| California | 1339316 | 83752 | 6.25 | 33896.25 |
| Pennsylvania | 349700 | 67311 | 19.25 | 27316.07 |
| Michigan | 422904 | 52350 | 12.38 | 42346.06 |
| Texas | 744937 | 50552 | 6.79 | 25691.13 |
| Florida | 715855 | 46944 | 6.56 | 33330.09 |
| Maryland | 208658 | 41546 | 19.91 | 34513.57 |
| Georgia | 378156 | 38855 | 10.27 | 35616.55 |
| Connecticut | 185520 | 38430 | 20.71 | 52035.08 |
| Louisiana | 278073 | 35038 | 12.60 | 59816.16 |
| Virginia | 202789 | 32145 | 15.85 | 23758.25 |
| Ohio | 277602 | 28952 | 10.43 | 23748.79 |
| Indiana | 189330 | 28705 | 15.16 | 28122.97 |
| Colorado | 131333 | 22482 | 17.12 | 22805.87 |
| North Carolina | 265008 | 19239 | 7.26 | 25267.53 |
| Washington | 289135 | 18811 | 6.51 | 37969.67 |
| Tennessee | 346123 | 18412 | 5.32 | 50653.33 |
| Minnesota | 161835 | 17029 | 10.52 | 28696.02 |
| Iowa | 107648 | 15296 | 14.21 | 34119.05 |
| Arizona | 161571 | 14576 | 9.02 | 21217.76 |
| Rhode Island | 117246 | 12951 | 11.05 | 110676.15 |
| Wisconsin | 161122 | 12885 | 8.00 | 27672.62 |
| Alabama | 157566 | 12376 | 7.85 | 32135.44 |
| Mississippi | 117760 | 11704 | 9.94 | 39567.91 |
| Missouri | 154110 | 11393 | 7.39 | 25109.87 |
| Nebraska | 69984 | 10854 | 15.51 | 36178.51 |
| South Carolina | 135063 | 9056 | 6.71 | 26232.38 |
| Kansas | 66990 | 8353 | 12.47 | 22994.43 |
| Kentucky | 153986 | 8069 | 5.24 | 34466.71 |
| Delaware | 44132 | 8037 | 18.21 | 45321.04 |
| Utah | 174022 | 7518 | 4.32 | 54280.81 |
| District of Columbia | 39374 | 7434 | 18.88 | 55790.37 |
| Nevada | 87555 | 7096 | 8.10 | 28425.51 |
| New Mexico | 137620 | 6192 | 4.50 | 65632.44 |
| Oklahoma | 139147 | 5489 | 3.94 | 35165.03 |
| Arkansas | 93701 | 4923 | 5.25 | 31049.18 |
| South Dakota | 29709 | 4085 | 13.75 | 33582.43 |
| Oregon | 99720 | 3726 | 3.74 | 23643.01 |
| New Hampshire | 49474 | 3721 | 7.52 | 36385.67 |
| Puerto Rico | 2805 | 2805 | 100.00 | 878.29 |
| Idaho | 38069 | 2455 | 6.45 | 21243.09 |
| North Dakota | 57731 | 1994 | 3.45 | 75756.30 |
| Maine | 23833 | 1741 | 7.30 | 17730.09 |
| West Virginia | 78301 | 1502 | 1.92 | 43813.41 |
| Vermont | 24591 | 944 | 3.84 | 39409.35 |
| Wyoming | 17850 | 776 | 4.35 | 30841.85 |
| Hawaii | 45023 | 641 | 1.42 | 31798.78 |
| Montana | 28950 | 471 | 1.63 | 27087.01 |
| Alaska | 36380 | 400 | 1.10 | 49730.37 |
Confirmed Cases and Deaths (States of India)
| State | Confirmed | NewConfirmations | CasesPercentIncrease | Recovered | RecoveryRate | Active | Deaths | NewDeaths | DeathsPercentIncrease | FatalityRate |
|---|---|---|---|---|---|---|---|---|---|---|
| Maharashtra | 37136 | 2078 | 5.93 | 9639 | 25.96 | 26172 | 1325 | 76 | 6.08 | 3.57 |
| Tamil Nadu | 12448 | 688 | 5.85 | 4895 | 39.32 | 7468 | 85 | 3 | 3.66 | 0.68 |
| Gujarat | 12141 | 395 | 3.36 | 5043 | 41.54 | 6379 | 719 | 25 | 3.60 | 5.92 |
| Delhi | 10554 | 500 | 4.97 | 4750 | 45.01 | 5638 | 166 | 6 | 3.75 | 1.57 |
| Rajasthan | 5845 | 216 | 3.84 | 3337 | 57.09 | 2365 | 143 | 4 | 2.88 | 2.45 |
| Madhya Pradesh | 5465 | 229 | 4.37 | 2631 | 48.14 | 2576 | 258 | 6 | 2.38 | 4.72 |
| Uttar Pradesh | 4926 | 321 | 6.97 | 2918 | 59.24 | 1885 | 123 | 5 | 4.24 | 2.50 |
| West Bengal | 2961 | 136 | 4.81 | 1074 | 36.27 | 1637 | 250 | 6 | 2.46 | 8.44 |
| Andhra Pradesh | 2489 | 57 | 2.34 | 1621 | 65.13 | 816 | 52 | 2 | 4.00 | 2.09 |
| Punjab | 2002 | 22 | 1.11 | 1642 | 82.02 | 322 | 38 | 1 | 2.70 | 1.90 |
| Telangana | 1634 | 42 | 2.64 | 1011 | 61.87 | 585 | 38 | 4 | 11.76 | 2.33 |
| Bihar | 1573 | 150 | 10.54 | 517 | 32.87 | 1047 | 9 | 0 | 0.00 | 0.57 |
| Karnataka | 1395 | 149 | 11.96 | 543 | 38.92 | 811 | 40 | 3 | 8.11 | 2.87 |
| Jammu and Kashmir | 1317 | 28 | 2.17 | 647 | 49.13 | 653 | 17 | 2 | 13.33 | 1.29 |
| State Unassigned | 1096 | 282 | 34.64 | 0 | 0.00 | 1096 | 0 | 0 | NaN | 0.00 |
| Odisha | 978 | 102 | 11.64 | 307 | 31.39 | 666 | 5 | 1 | 25.00 | 0.51 |
| Haryana | 964 | 36 | 3.88 | 627 | 65.04 | 323 | 14 | 0 | 0.00 | 1.45 |
| Kerala | 643 | 12 | 1.90 | 497 | 77.29 | 142 | 4 | 0 | 0.00 | 0.62 |
| Jharkhand | 248 | 20 | 8.77 | 127 | 51.21 | 118 | 3 | 0 | 0.00 | 1.21 |
| Chandigarh | 199 | 3 | 1.53 | 57 | 28.64 | 139 | 3 | 0 | 0.00 | 1.51 |
| Tripura | 169 | 4 | 2.42 | 116 | 68.64 | 53 | 0 | 0 | NaN | 0.00 |
| Assam | 158 | 42 | 36.21 | 42 | 26.58 | 110 | 4 | 0 | 0.00 | 2.53 |
| Uttarakhand | 111 | 15 | 15.62 | 52 | 46.85 | 58 | 1 | 0 | 0.00 | 0.90 |
| Chhattisgarh | 100 | 5 | 5.26 | 59 | 59.00 | 41 | 0 | 0 | NaN | 0.00 |
| Himachal Pradesh | 92 | 2 | 2.22 | 47 | 51.09 | 38 | 4 | 1 | 33.33 | 4.35 |
| Goa | 46 | 8 | 21.05 | 7 | 15.22 | 39 | 0 | 0 | NaN | 0.00 |
| Ladakh | 43 | 0 | 0.00 | 43 | 100.00 | 0 | 0 | 0 | NaN | 0.00 |
| Andaman and Nicobar Islands | 33 | 0 | 0.00 | 33 | 100.00 | 0 | 0 | 0 | NaN | 0.00 |
| Puducherry | 22 | 5 | 29.41 | 10 | 45.45 | 12 | 0 | 0 | NaN | 0.00 |
| Meghalaya | 13 | 0 | 0.00 | 12 | 92.31 | 0 | 1 | 0 | 0.00 | 7.69 |
| Manipur | 7 | 0 | 0.00 | 2 | 28.57 | 5 | 0 | 0 | NaN | 0.00 |
| Arunachal Pradesh | 1 | 0 | 0.00 | 1 | 100.00 | 0 | 0 | 0 | NaN | 0.00 |
| Dadra and Nagar Haveli and Daman and Diu | 1 | 0 | 0.00 | 1 | 100.00 | 0 | 0 | 0 | NaN | 0.00 |
| Mizoram | 1 | 0 | 0.00 | 1 | 100.00 | 0 | 0 | 0 | NaN | 0.00 |
| Lakshadweep | 0 | 0 | NaN | 0 | NaN | 0 | 0 | 0 | NaN | NaN |
| Nagaland | 0 | 0 | NaN | 0 | NaN | 0 | 0 | 0 | NaN | NaN |
| Sikkim | 0 | 0 | NaN | 0 | NaN | 0 | 0 | 0 | NaN | NaN |
Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)
| Region | Swabs | Confirmations | NewConfirmations | CasesPercentIncrease | ConfirmationRate | HospitalizedWithSymptoms | IntensiveCare | ActiveCases | Deceased | FatalityRate |
|---|---|---|---|---|---|---|---|---|---|---|
| Lombardia | 596355 | 85481 | 462 | 0.54 | 14.33 | 4426 | 244 | 27291 | 15597 | 18.25 |
| Piemonte | 258489 | 29727 | 108 | 0.36 | 11.50 | 1579 | 96 | 9635 | 3679 | 12.38 |
| Emilia-Romagna | 268200 | 27314 | 47 | 0.17 | 10.18 | 670 | 99 | 5330 | 3997 | 14.63 |
| Veneto | 523800 | 18997 | 47 | 0.25 | 3.63 | 259 | 18 | 3754 | 1820 | 9.58 |
| Toscana | 209161 | 9968 | 7 | 0.07 | 4.77 | 190 | 56 | 2323 | 992 | 9.95 |
| Liguria | 83593 | 9257 | 66 | 0.72 | 11.07 | 338 | 22 | 2264 | 1376 | 14.86 |
| Lazio | 213877 | 7505 | 20 | 0.27 | 3.51 | 1124 | 74 | 3786 | 640 | 8.53 |
| Marche | 89985 | 6675 | -3 | -0.04 | 7.42 | 144 | 17 | 2128 | 986 | 14.77 |
| Campania | 147225 | 4707 | 12 | 0.26 | 3.20 | 330 | 17 | 1518 | 399 | 8.48 |
| Puglia | 93834 | 4396 | 10 | 0.23 | 4.68 | 247 | 22 | 1941 | 473 | 10.76 |
| P.A. Trento | 70691 | 4358 | 7 | 0.16 | 6.16 | 42 | 8 | 204 | 455 | 10.44 |
| Sicilia | 122040 | 3403 | 8 | 0.24 | 2.79 | 125 | 12 | 1524 | 268 | 7.88 |
| Friuli Venezia Giulia | 105656 | 3203 | 5 | 0.16 | 3.03 | 76 | 2 | 600 | 320 | 9.99 |
| Abruzzo | 58945 | 3197 | 4 | 0.13 | 5.42 | 188 | 6 | 1389 | 389 | 12.17 |
| P.A. Bolzano | 55526 | 2587 | 5 | 0.19 | 4.66 | 46 | 6 | 308 | 291 | 11.25 |
| Umbria | 57822 | 1427 | 3 | 0.21 | 2.47 | 25 | 2 | 66 | 74 | 5.19 |
| Sardegna | 44413 | 1354 | 1 | 0.07 | 3.05 | 71 | 9 | 341 | 126 | 9.31 |
| Valle d’Aosta | 12663 | 1175 | 1 | 0.09 | 9.28 | 26 | 1 | 49 | 143 | 12.17 |
| Calabria | 57310 | 1153 | 2 | 0.17 | 2.01 | 50 | 2 | 382 | 95 | 8.24 |
| Molise | 11592 | 422 | 0 | 0.00 | 3.64 | 9 | 2 | 212 | 22 | 5.21 |
| Basilicata | 23347 | 393 | 1 | 0.26 | 1.68 | 26 | 1 | 84 | 27 | 6.87 |
Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)
| Province | Confirmed | NewConfirmations | CasesPercentIncrease | Deaths | NewDeaths | DeathsPercentIncrease | FatalityRate | ConfirmedCasesPerMillPopl | DeathsPerMillPopl | InfectionOdds |
|---|---|---|---|---|---|---|---|---|---|---|
| Quebec | 44206 | 570 | 1.31 | 3648 | 51 | 1.42 | 8.25 | 5177.76 | 427.28 | 1 in 193 |
| Ontario | 24755 | 469 | 1.93 | 2032 | 13 | 0.64 | 8.21 | 1682.66 | 138.12 | 1 in 594 |
| Alberta | 6716 | 33 | 0.49 | 128 | 0 | 0.00 | 1.91 | 1521.82 | 29.00 | 1 in 657 |
| British Columbia | 2446 | 2 | 0.08 | 146 | 3 | 2.10 | 5.97 | 478.58 | 28.57 | 1 in 2090 |
| Nova Scotia | 1044 | 1 | 0.10 | 56 | 1 | 1.82 | 5.36 | 1068.08 | 57.29 | 1 in 936 |
| Saskatchewan | 599 | 7 | 1.18 | 7 | 0 | 0.00 | 1.17 | 506.91 | 5.92 | 1 in 1973 |
| Manitoba | 290 | 0 | 0.00 | 7 | 0 | 0.00 | 2.41 | 210.52 | 5.08 | 1 in 4750 |
| Newfoundland and Labrador | 260 | 0 | 0.00 | 3 | 0 | 0.00 | 1.15 | 498.69 | 5.75 | 1 in 2005 |
| New Brunswick | 120 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 153.85 | 0.00 | 1 in 6500 |
| Prince Edward Island | 27 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 170.72 | 0.00 | 1 in 5858 |
| Yukon | 11 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 267.78 | 0.00 | 1 in 3734 |
| Northwest Territories | 5 | 0 | 0.00 | 0 | 0 | NaN | 0.00 | 111.35 | 0.00 | 1 in 8981 |
Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)
| Province | Confirmed | Deaths | FatalityRate |
|---|---|---|---|
| Hubei | 68135 | 4512 | 6.62 |
| Guangdong | 1590 | 8 | 0.50 |
| Henan | 1276 | 22 | 1.72 |
| Zhejiang | 1268 | 1 | 0.08 |
| Hong Kong | 1055 | 4 | 0.38 |
| Hunan | 1019 | 4 | 0.39 |
| Anhui | 991 | 6 | 0.61 |
| Heilongjiang | 945 | 13 | 1.38 |
| Jiangxi | 937 | 1 | 0.11 |
| Shandong | 788 | 7 | 0.89 |
| Shanghai | 666 | 7 | 1.05 |
| Jiangsu | 653 | 0 | 0.00 |
| Beijing | 593 | 9 | 1.52 |
| Chongqing | 579 | 6 | 1.04 |
| Sichuan | 561 | 3 | 0.53 |
| Fujian | 356 | 1 | 0.28 |
| Hebei | 328 | 6 | 1.83 |
| Shaanxi | 308 | 3 | 0.97 |
| Guangxi | 254 | 2 | 0.79 |
| Inner Mongolia | 216 | 1 | 0.46 |
| Shanxi | 198 | 0 | 0.00 |
| Tianjin | 192 | 3 | 1.56 |
| Yunnan | 185 | 2 | 1.08 |
| Hainan | 169 | 6 | 3.55 |
| Jilin | 151 | 2 | 1.32 |
| Liaoning | 149 | 2 | 1.34 |
| Guizhou | 147 | 2 | 1.36 |
| Gansu | 139 | 2 | 1.44 |
| Xinjiang | 76 | 3 | 3.95 |
| Ningxia | 75 | 0 | 0.00 |
| Macau | 45 | 0 | 0.00 |
| Qinghai | 18 | 0 | 0.00 |
| Tibet | 1 | 0 | 0.00 |
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.
Country Wise Time Series Curve
Country Wise Time Series Curve
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.
Country Wise Time Series Curve
Country Wise Time Series Curve
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.
This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.
Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.
Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.
Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.
5 Day Lagging Avg Doubling Time of Confirmations
This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.
For the top 20 countries with most confirmed cases excluding cruise ships
| Country_Region | ConfirmedCasesPerMillionPopl | DeathsPerMillionPopl | InfectionOdds |
|---|---|---|---|
| US | 4671.66 | 280.93 | 1 in 214 |
| Russia | 2075.72 | 19.63 | 1 in 482 |
| Brazil | 1299.02 | 85.92 | 1 in 770 |
| United Kingdom | 3764.87 | 533.14 | 1 in 266 |
| Spain | 4972.93 | 595.33 | 1 in 201 |
| Italy | 3748.33 | 531.89 | 1 in 267 |
| France | 2700.90 | 418.35 | 1 in 370 |
| Germany | 2147.34 | 97.61 | 1 in 466 |
| Turkey | 1876.19 | 51.96 | 1 in 533 |
| Iran | 1535.28 | 87.72 | 1 in 651 |
| India | 79.52 | 2.47 | 1 in 12576 |
| Peru | 3092.42 | 90.58 | 1 in 323 |
| China | 60.65 | 3.35 | 1 in 16488 |
| Canada | 2141.34 | 160.36 | 1 in 467 |
| Saudi Arabia | 1817.06 | 9.99 | 1 in 550 |
| Belgium | 4893.95 | 798.95 | 1 in 204 |
| Mexico | 420.63 | 43.85 | 1 in 2377 |
| Chile | 2746.76 | 28.20 | 1 in 364 |
| Netherlands | 2587.25 | 333.76 | 1 in 387 |
| Pakistan | 223.18 | 4.77 | 1 in 4481 |
This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
All NYC boroughs are mentioned together as New York County
| County | State | Confirmations | Deaths | FatalityRate |
|---|---|---|---|---|
| New York | New York | 193821 | 20887 | 10.78 |
| Cook | Illinois | 64691 | 2980 | 4.61 |
| Los Angeles | California | 39573 | 1913 | 4.83 |
| Nassau | New York | 39295 | 2060 | 5.24 |
| Suffolk | New York | 38327 | 1772 | 4.62 |
| Westchester | New York | 32402 | 1298 | 4.01 |
| Philadelphia | Pennsylvania | 20132 | 1109 | 5.51 |
| Middlesex | Massachusetts | 19504 | 1436 | 7.36 |
| Wayne | Michigan | 19292 | 2275 | 11.79 |
| Hudson | New Jersey | 18679 | 1082 | 5.79 |
| Bergen | New Jersey | 17522 | 1474 | 8.41 |
| Suffolk | Massachusetts | 16825 | 797 | 4.74 |
| Essex | New Jersey | 16747 | 1566 | 9.35 |
| Miami-Dade | Florida | 15942 | 578 | 3.63 |
| Passaic | New Jersey | 15371 | 842 | 5.48 |
| Union | New Jersey | 15031 | 977 | 6.50 |
| Middlesex | New Jersey | 14834 | 903 | 6.09 |
| Fairfield | Connecticut | 14522 | 1160 | 7.99 |
| Rockland | New York | 12798 | 611 | 4.77 |
| Essex | Massachusetts | 12748 | 797 | 6.25 |
| Prince George’s | Maryland | 12240 | 445 | 3.64 |
| New Haven | Connecticut | 10427 | 838 | 8.04 |
| Orange | New York | 9988 | 419 | 4.20 |
| Harris | Texas | 9859 | 207 | 2.10 |
| Worcester | Massachusetts | 9582 | 597 | 6.23 |
| Providence | Rhode Island | 9112 | 0 | 0.00 |
| Hartford | Connecticut | 9050 | 1090 | 12.04 |
| Montgomery | Maryland | 8950 | 503 | 5.62 |
| Marion | Indiana | 8541 | 497 | 5.82 |
| Oakland | Michigan | 8078 | 928 | 11.49 |
| Ocean | New Jersey | 8067 | 643 | 7.97 |
| Fairfax | Virginia | 8020 | 292 | 3.64 |
| Dallas | Texas | 7904 | 191 | 2.42 |
| Norfolk | Massachusetts | 7565 | 735 | 9.72 |
| King | Washington | 7565 | 534 | 7.06 |
| Maricopa | Arizona | 7482 | 339 | 4.53 |
| Monmouth | New Jersey | 7470 | 520 | 6.96 |
| District of Columbia | District of Columbia | 7434 | 400 | 5.38 |
| Plymouth | Massachusetts | 7198 | 470 | 6.53 |
| Jefferson | Louisiana | 7095 | 429 | 6.05 |
| Orleans | Louisiana | 6869 | 494 | 7.19 |
| Lake | Illinois | 6709 | 221 | 3.29 |
| Broward | Florida | 6369 | 282 | 4.43 |
| Macomb | Michigan | 6367 | 753 | 11.83 |
| DuPage | Illinois | 6171 | 315 | 5.10 |
| Morris | New Jersey | 6100 | 572 | 9.38 |
| Bristol | Massachusetts | 6080 | 330 | 5.43 |
| Montgomery | Pennsylvania | 6063 | 575 | 9.48 |
| Riverside | California | 6053 | 270 | 4.46 |
| San Diego | California | 6026 | 222 | 3.68 |
Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.
County level COVID-19 Confirmations Map
This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.
The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc